Volume 2, Issue 1 · IJARST · ISSN 2319-1783 / 2320-1126

MRI Image Retrieval Using Gabor Wavelet Based Texture Features

MRI Image Retrieval Using Gabor Wavelet Based Texture Features is an open-access, peer-reviewed research paper by N. Kumaran 1*, R. Bhavani 1, published in Volume 2, Issue 1 of the International Journal of Advanced Research in Science and Technology (IJARST), a UGC-approved journal (Print ISSN 2319-1783, Online ISSN 2320-1126).

Author

N. Kumaran 1*, R. Bhavani 1

Abstract

Abstract:

Due to vast number of medical technologies and equipments the medical images are growing in rapid rate. This directs to retrieve efficient medical images based on visual contents. This paper proposed the content based medical image retrieval system by means of Gabor Wavelet to extract texture features of MRI images. Then the K-means clustering and Euclidean distance measure are used to retrieve related images for the query image in medical diagnosis. The experimental results demonstrate the efficiency of this system in clustering and MRI image retrieval against Haralick’s and Texture Spectrum based texture features.

DOI

https://doi.org/10.62226/ijarst20130157

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How do you cite this paper?

N. Kumaran 1*, R. Bhavani 1 — “MRI Image Retrieval Using Gabor Wavelet Based Texture Features.” International Journal of Advanced Research in Science and Technology (IJARST), Volume 2, Issue 1. DOI: https://doi.org/10.62226/ijarst20130157.

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